Yesterday’s announcements show enterprise marketing infrastructure entering a new phase: the protocols, data standards, and creative tooling required for agentic AI are being built out in parallel by vendors who increasingly need each other to work. Six major announcements dropped on May 19, 2026, timed around Google I/O and Google Marketing Live, covering creative agent distribution, semantic data standards, retail media protocol expansion, social commerce extension, application security threats, and primary research operations. The shared subtext: marketing technology is splitting into infrastructure layers, and CMOs need to start treating their stacks accordingly.
The most strategically significant development is the convergence around shared standards. Pacvue launched a Model Context Protocol (MCP) server that allows enterprise teams to pull commerce media data into Claude, ChatGPT, Gemini, and Copilot using plain language. Zeta Global and Snowflake announced participation in the Open Semantic Interchange, an open-source initiative to standardize how business metrics are defined across data and AI platforms. Both moves point in the same direction: the era of every vendor owning a proprietary data layer is giving way to interoperability standards that let AI agents move data and decisions across enterprise stacks. For CMOs, this changes the procurement question from “which platform owns my data” to “which platforms support the protocols my AI workflows depend on.”
Adobe extended its creative agent into Google Gemini, joining its earlier integration with Anthropic’s Claude. The Gemini connector will bring more than a subset of Adobe’s pro-grade creative tools into a consumer AI environment Adobe describes as serving hundreds of millions of users. For marketing organizations, this surfaces a procurement decision that wasn’t on the table a year ago: whether agentic content production happens inside Adobe’s own applications, inside the Claude or Gemini chat interface, or some combination governed by the team. The tooling is moving to wherever marketers already work, which means the creative software question now includes “which conversational AI does the team use” as a primary input.
Topsort launched TikTok Offsite Ads, extending marketplace retail media infrastructure into social commerce through the same catalog, campaign, and reporting workflows already used for onsite placements. The announcement reflects a structural reality marketplaces are confronting: commerce discovery has moved off the storefront and onto short-form video, but most retail media infrastructure was built only for onsite monetization. CMOs managing marketplace or retail media programs need to evaluate whether their current vendors can unify onsite and offsite advertising operations, or whether fragmented tooling will continue to produce disconnected attribution.
The Digital.ai 2026 Application Security Threat Report introduces a counterweight to the day’s adoption-focused announcements. Application attack rates climbed from 55% in 2022 to 87% in 2026 as agentic AI collapsed the cost and skill required to attack software. Financial services and automotive apps hit 91% attack rates. The iOS-Android attack gap that once stood at 21 percentage points has effectively closed. The same AI capabilities marketing teams are deploying to build customer-facing applications are being used to attack those applications within hours of publication. Marketing organizations responsible for mobile commerce, loyalty apps, and customer-facing experiences need to verify their AppSec budgets reflect current threat data, not three-year-old platform assumptions.
IncQuery reported growth milestones in survey-based primary research, a category that has been pressured by AI-generated synthetic data but is seeing renewed demand from teams that need defensible quantitative evidence for high-stakes decisions. The company supported 30% more clients in 2025 versus 2024 and has saved clients over 200,000 hours since 2016. For CMOs evaluating customer research vendors, the signal is that speed-with-rigor is reseparating from speed-alone: AI accelerates the work, but the underlying methodology still has to stand up to scrutiny.
Practical decisions CMOs need to make now:
- Audit which AI protocols (MCP, semantic standards) the current martech stack supports, since vendor lock-in risk is shifting from data ownership to protocol compatibility.
- Decide where agentic creative production happens — inside Adobe applications, inside conversational AI surfaces like Claude or Gemini, or split between them with clear governance.
- Evaluate retail media and commerce media infrastructure for onsite/offsite unification, particularly for organizations with marketplace operations.
- Review AppSec budget allocation against current attack data, especially for iOS apps where the historic threat discount no longer applies.
- Re-examine the role of primary research in an AI-saturated insights stack, since defensibility is becoming a differentiator from synthetic alternatives.
Here’s the News:
Adobe Extends Creative Agent to Google Gemini, Broadening AI-Driven Content Workflows — Announced at Google I/O, Adobe is bringing its creative agent and pro-grade creative tools to Google Gemini, expanding access to automated imaging, design, and video generation across what the company describes as hundreds of millions of Gemini users. The Adobe for creativity connector will arrive in Gemini “in the coming weeks.” Once live, users describe a desired creative outcome in natural language, and Adobe’s tools across imaging, design, and video handle the orchestration without leaving the Gemini environment. The integration uses the same agentic technology behind the Firefly AI Assistant and the previously released Adobe for creativity connector for Anthropic’s Claude. Adobe positions the approach as “outcome-driven creation,” where the user defines the creative vision and the agent connects appropriate tools in sequence with approval checkpoints at key steps. Example use cases include a business owner sketching a campaign concept in Gemini and converting it into product mockups, social assets, resized formats, and video variations without switching tools, then continuing in Firefly Boards and finishing in Creative Cloud applications including Photoshop, Illustrator, Premiere, and Express. The Firefly AI Assistant carries more than 60 pro-grade tools, the Claude connector includes more than 50, and Gemini represents the next expansion point. (Published: May 19, 2026 | Source: Adobe)
Zeta Global Joins Forces with Snowflake to Spearhead Open Semantic Interchange — Zeta Global announced it is joining the Open Semantic Interchange (OSI), an open-source initiative led by Snowflake and ecosystem partners across business intelligence, data governance, data engineering, AI, financial services, and manufacturing. OSI creates a universal specification for standardizing fragmented data definitions through a vendor-neutral semantic model. The initiative aims to enhance interoperability across tools and platforms, providing consistent metrics and definitions across dashboards, notebooks, and machine learning models. Christian Monberg, Chief Technology Officer and Head of Product at Zeta Global, said the company processes trillions of consumer signals across the marketing ecosystem and sees firsthand how fragmented definitions erode trust in analytics and AI. For Zeta’s enterprise customers, OSI adoption means ZMP data and insights interoperate seamlessly with the broader data and AI tools in their stack, reducing integration friction. Josh Klahr, Director of Analytics Product Management at Snowflake, said the collaboration establishes a unified, vendor-neutral standard for semantic data across the ecosystem. (Published: May 19, 2026 | Source: Zeta Global)
Pacvue Launches MCP Server, Making Commerce Media Data Accessible Across Enterprise AI Tools — Pacvue announced the launch of its MCP server, built on the Model Context Protocol open standard originally developed by Anthropic. The MCP server lets enterprise teams connect commerce media data with AI tools like ChatGPT, Copilot, Gemini, and Claude. The first capability available, Report MCP, allows brands and agencies to pull Pacvue advertising reports directly from AI tools through plain-language requests. Report MCP connects to platforms available through Pacvue’s My Report engine including Amazon, Walmart, Instacart, Kroger, Target, Sam’s Club, Chewy, DoorDash, eBay, Bol, Mercado Libre, Criteo, and Citrus. Teams request data in plain language and receive formatted CSV or Excel files delivered in their preferred AI tool. The integration supports report types including campaign performance, keywords and search terms, share of voice, and inventory. Sunava Dutta, Chief Product Officer at Pacvue, said AI tools are becoming a primary surface for analysis, decision-making, and execution, which means commerce media data needs to be accessible where teams already operate. Report MCP is generally available now, with additional Pacvue MCP capabilities in development. (Published: May 19, 2026 | Source: Pacvue)
Topsort Launches TikTok Offsite Ads to Extend Commerce Media Beyond Onsite Placements — Topsort announced TikTok Offsite Ads, an AI-native capability that lets marketplaces and vendors launch TikTok campaigns directly from the Topsort platform. The launch extends Topsort’s commerce media infrastructure into TikTok, allowing marketplaces to manage onsite and TikTok offsite campaigns through the same catalog, campaign, and reporting infrastructure already in use. Advertisers select all products or specific SKUs, set budgets and campaign dates, launch TikTok campaigns from Topsort, and review SKU-level and campaign-level reporting through existing Topsort workflows. To simplify campaign creation, advertisers choose soundtrack styles including Relaxed instrumental, Upbeat electronic, and Minimal ambient, while Topsort automatically selects an appropriate instrumental track from TikTok’s music library. Regina Ye, CEO of Topsort, said most marketplace advertising systems were built only for onsite monetization, while commerce discovery is increasingly happening outside the storefront. (Published: May 19, 2026 | Source: Topsort)
Digital.ai Releases 2026 Application Security Threat Report — Digital.ai published its 2026 Application Security Threat Report, finding that 87% of monitored client-facing applications faced attacks in 2026, up from 55% in 2022. The report draws on real-time threat monitoring data from applications serving billions of consumers across financial services, healthcare, automotive, and telecommunications. The five-year attack rate trajectory (55% → 57% → 65% → 82.7% → 87%) tracks closely alongside major AI model releases since 2022. Financial services apps hit a 91% attack rate, the highest recorded for any vertical. Automotive apps reached 91%, statistically identical to financial services. Medical device apps recorded an 8-percentage-point single-year jump from 78% to 86%. iOS apps were attacked at an 86% rate compared to 89% for Android, closing a gap that stood at 21 percentage points in 2023. iOS instrumentation attacks alone jumped 10 percentage points in a single year. One enterprise customer observed hostile activity less than two hours after their app appeared in an app store. Derek Holt, CEO of Digital.ai, said the same AI used to build an app in the morning is being used to attack it that afternoon. (Published: May 19, 2026 | Source: Business Wire)
IncQuery Marks Major Growth Milestones Amid Rising Demand for Survey-Based Research — IncQuery announced new company milestones reflecting growing demand for faster, more defensible primary research. Founded in 2016, the company has expanded to support more than 250 client offices worldwide and supported 30% more client companies in 2025 versus 2024. IncQuery has built an international team across 25 countries with employees collectively speaking 23 languages. The platform enables investors and consultants to design, field, and analyze custom surveys on accelerated timelines for due diligence, early conviction, value creation, strategy development, and pricing engagements. Over the past decade, the company has helped clients save more than 200,000 hours, up from 80,000 hours saved as of 2022, while maintaining a Net Promoter Score of 85+ sustained since 2018. Felipe Ochoa, CEO and Founder of IncQuery, said investors and consultants face a higher bar for rigor, defensibility, and data quality, while timelines for critical decisions continue to compress. (Published: May 19, 2026 | Source: IncQuery)
Cadent Becomes One of the First Audience Activation Platforms Available in Gemini Enterprise — Cadent, the predictive advertising company, announced it is among the first platforms embedded directly in Google’s Gemini Enterprise, enabling advertisers to access Cadent’s campaign intelligence through a conversational AI interface. The practical workflow change is significant: instead of logging into multiple dashboards, exporting reports, and manually identifying underperforming line items, users can ask Gemini Enterprise natural language questions — “Which campaigns need action today?” or “Where do we have creative fatigue risk?” — and receive immediate, actionable answers. Cadent reports a 200% increase in campaign resolution speed, a 35% increase in campaign ROAS, and platform issue resolution in under 12 minutes as outcomes from its Google Cloud collaboration. This is one of the clearest examples of agentic AI delivering measurable workflow compression in marketing operations — though the dependency on Gemini Enterprise as the interface layer creates its own platform concentration risk. (May 18, 2026 | Source: MarTech Series)
Automation Anywhere Launches EnterpriseClaw with Cisco, NVIDIA, Okta, and OpenAI
Automation Anywhere announced EnterpriseClaw, a new capability enabling organizations to deploy autonomous AI agents across cloud platforms, desktops, on-premises systems, and secured enterprise networks simultaneously — with centralized orchestration, governance, and control. The platform was developed in collaboration with Cisco (security via AI Defense and DefenseClaw), NVIDIA (OpenShell runtime and Nemotron models), Okta (cross-agent identity management), and OpenAI (GPT-5.5 model integration). For marketing and revenue operations teams, EnterpriseClaw represents the infrastructure layer that makes true agentic automation possible at enterprise scale — agents that can investigate complex customer claims, pull data from multiple systems, and execute decisions without human intervention. The platform is currently in preview, with general availability expected later in 2026. The governance requirements alone — identity management, security layers, model observability — signal that this is not a plug-and-play solution; it requires significant IT and legal investment before marketing teams can deploy it safely. (May 19, 2026 | PR Newswire)
Gartner Forecasts Worldwide AI Spending to Grow 47% in 2026, Reaching $2.59 Trillion
Gartner released its updated worldwide AI spending forecast, projecting $2.59 trillion in total AI spending for 2026 — a 47% year-over-year increase. AI infrastructure (servers, IaaS, semiconductors) accounts for over 45% of spending, driven primarily by hyperscalers and technology vendors rather than enterprises. AI model spending is forecast to grow 110% in 2026, adding $6 billion as enterprises expand use of GenAI models embedded in existing software and new agentic workflows. Critically, Gartner’s own analyst noted that “enterprises have yet to really flex their spending potential” and that most organizations are still pursuing tactical, incremental AI initiatives rather than transformative ones. The implication for CMOs: the budget pressure to increase AI spending is real, but the ROI case requires aligning AI initiatives with specific strategic business objectives — not just deploying more tools. The 25% of sales organizations reporting 50%+ ROI on AI versus the 20% reporting 50%+ negative returns illustrates how wide the implementation gap already is. (May 19, 2026 | Gartner Newsroom)
Gartner Survey Finds AI Saves Sellers Nearly 5 Hours Per Week, Yet 72% Fail to Reinvest Time in High-Value Activities
Presented at the Gartner CSO & Sales Leader Conference in Las Vegas, this research found that AI tools are saving sellers an average of 4.8 hours per week — but 72% of sales organizations report low reinvestment of those time savings into high-value activities, creating what Gartner calls a “reinvestment gap.” Organizations that do reinvest AI-freed time into high-impact activities are 2.2x more likely to exceed customer growth goals and 3.1x more likely to exceed lead-to-opportunity conversion goals. Gartner VP Analyst Dan Gottlieb framed the issue precisely: “AI is not the hero of this story; AI is the accelerant. The opportunity is not simply using AI to improve sales productivity. It is using AI to break through the constraints that limit sales output.” For CMOs, this research applies directly to marketing teams: the question is not whether AI is saving time, but whether that time is being deliberately redirected to strategy, creative judgment, and customer insight — or simply absorbed by existing workloads. (May 19, 2026 | Gartner Newsroom)
PartnerBoost Becomes First Affiliate Network to Integrate with Walmart Sales Rewards & Attribution
PartnerBoost, the AI-powered affiliate platform, announced its integration with Walmart Sales Rewards & Attribution, becoming the first affiliate network to offer this capability. The program allows Walmart Marketplace sellers to receive up to 10% commission back as Walmart Sales Rewards on eligible transactions from non-Walmart marketing channels, extends the standard Walmart affiliate cookie window from 3 to 14 days, and enables sellers to use rewards to offset Walmart Marketplace Referral Fees. For publishers and creators, the program provides access to commissions of 15%+ with participating Walmart sellers. This announcement reflects the broader shift in e-commerce toward performance-based, AI-tracked attribution models that extend beyond the traditional 24–72 hour cookie window. For CMOs managing marketplace brands, the practical implication is that affiliate and creator partnerships are becoming more measurable and more economically attractive — but also more complex to manage across multiple marketplace platforms simultaneously. (May 19, 2026 | Martech Record)
